Search results for "Color model"

showing 10 items of 112 documents

Parameter-free adaptive step-size multiobjective optimization applied to remote photoplethysmography

2018

International audience; In this work, we propose to reformulate the objective function of Independent Component Analysis (ICA) to make it a better posed problem in the context of Remote photoplethysmography (rPPG). In recent previous works, linear combination coefficients of RGB channels are estimated maximizing the non-Gaussianity of ICA output components. However, in the context of rPPG a priori knowledge of the pulse signal can be incorporated into the component extraction algorithm. To this end, the contrast function of regular ICA is extended with a measure of periodicity formulated using autocorrelation. This novel semi-blind source extraction method for measuring rPPG has the interes…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingLinear programming[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science0206 medical engineeringAutocorrelation[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Context (language use)02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineering01 natural sciencesMulti-objective optimizationIndependent component analysis010309 optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesA priori and a posterioriRGB color modelLinear combinationAlgorithm
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Incorporating depth information into few-shot semantic segmentation

2021

International audience; Few-shot segmentation presents a significant challengefor semantic scene understanding under limited supervision.Namely, this task targets at generalizing the segmentationability of the model to new categories given a few samples.In order to obtain complete scene information, we extend theRGB-centric methods to take advantage of complementary depthinformation. In this paper, we propose a two-stream deep neuralnetwork based on metric learning. Our method, known as RDNet,learns class-specific prototype representations within RGB anddepth embedding spaces, respectively. The learned prototypesprovide effective semantic guidance on the corresponding RGBand depth query ima…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Artificial neural networkComputer sciencebusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020206 networking & telecommunications02 engineering and technologyImage segmentationSemanticsVisualization[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMetric (mathematics)0202 electrical engineering electronic engineering information engineeringEmbeddingRGB color modelSegmentationComputer visionArtificial intelligencebusiness
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Robustness of texture parameters for color texture analysis

2006

This article proposes to deal with noisy and variable size color textures. It also proposes to deal with quantization methods and to see how such methods change final results. The method we use to analyze the robustness of the textures consists of an auto-classification of modified textures. Texture parameters are computed for a set of original texture samples and stored into a database. Such a database is created for each quantization method. Textures from the set of original samples are then modified, eventually quantized and classified according to classes determined from a precomputed database. A classification is considered incorrect if the original texture is not retrieved. This metho…

business.industryCovariance matrixAutocorrelationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionMaxima and minimaQuantization (physics)Matrix (mathematics)Computer Science::GraphicsAutocorrelation matrixComputer Science::Computer Vision and Pattern RecognitionPrincipal component analysisRGB color modelComputer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICSMathematicsSPIE Proceedings
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<title>Stereoacuity determination at changing contrast of colored stereostimuli</title>

2003

Studies are focused on design and appraisal of an objective test for assessment of the stereovision quality in unfavorable conditions. Stereostimuli of different colors are used while the contrast of one of the stimulus being varied. Tests are based on principles of black-and-white and two primary color random dot stereotests. Experiments are divided by the method of stimuli display and separation: 1) stereoeffect is obtained haploscopically - by use of spectacles with color filters (blue and red) or prisms, 2) stimuli separation is obtained by liquid crystal shutters when both eye stimuli are demonstrated with a different delay. The stereovision threshold is determiend at different stimuli…

business.product_categoryComputer sciencebusiness.industryContrast (statistics)Stimulus (physiology)Stereoscopic acuityPrimary colorColoredRGB color modelComputer visionColor filter arrayArtificial intelligenceComputer monitorbusinessSPIE Proceedings
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Characterization of a digital camera as an absolute tristimulus colorimeter

2003

An algorithm is proposed for the spectral and colorimetric characterization of digital still cameras (DSC) which allows them to be used as tele-colorimeters with CIE-XYZ color output, in cd/m2. The spectral characterization consists in the calculation of the color-matching functions from the previously measured spectral sensitivities. The colorimetric characterization consists in trans- forming the raw RGB digital data into absolute tristimulus values CIE-XYZ (in cd/m2) under variable and unknown spectroradiometric conditions. Thus, in the first stage, a gray balance was applied over the raw RGB digital data to convert them into RGB relative colorimetric values. In the second stage, an algo…

business.product_categoryDemosaicingDigital camerabusiness.industryColor correctionDevice modeling and characterizationTristimulus colorimeterSpectroradiometerDevice limitationsColorCheckerRGB color modelComputer visionArtificial intelligenceColorimetrybusinessColor correctionÓpticaDigital cameraMathematicsColor Imaging VIII: Processing, Hardcopy, and Applications
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Weakly interacting dark matter in walking technicolor theories

2010

Several lines of evidence support the existence of the dark matter in the Universe. In the light of the present observations the particle dark matter, and in particular the WIMP scenario is a very promising alternative to solve the dark matter problem. In this context recent minimal walking techicolor model motivated dark matter models have been studied. The minimal walking techinicolor and the minimal extension of it, which can successfully provide a dynamical origin for the electroweak symmetry breaking as well as the unification of the standard model coupling constants, gives rise to natural dark matter candidates such as fourth family heavy neutrinos and SU(2) adjoint matter. A general …

calculationpimeä ainetechnicolor theoryminimal walking technicolor modelWIMPmaailmankaikkeustechnicolordark matter
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Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

2015

This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…

education.field_of_studybusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionConvolutional neural networkLidarData visualizationDiscriminative modelRGB color modelComputer visionArtificial intelligencebusinesseducationCluster analysis2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Agar-based phantoms for skin diagnostic imaging

2020

Agar-based skin phantoms with different thicknesses and hemoglobin concentration were evaluated for diagnostics of skin lesions by RGB imaging. Scattering properties of the phantoms were simulated using intralipid, absorption properties – using lyophilized powder of human hemoglobin. RGB images of phantoms were captured by self-developed laboratory made devices. The algorithm for calculation of chromophore concentrations are based on Beer-Lambert law and includes the photon path length evaluated from the measured photon-time-of-flight signals. Optical properties and chromophore concentration maps of phantoms obtained from RGB images were analyzed. The influence of chromophore concentration …

food.ingredientfoodMaterials sciencePhotonPath lengthScatteringMedical imagingAgarRGB color modelChromophoreAbsorption (electromagnetic radiation)Biomedical engineeringTissue Optics and Photonics
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Color stimuli perception in presence of light scattering.

2006

Perception of different color contrast stimuli was studied in the presence of light scattering: in a fog chamber in Clermont-Ferrand and in laboratory conditions where light scattering of similar levels was obtained, using different light scattering eye occluders. Blue (shortest wavelength) light is scattered in fog to the greatest extent, causing deterioration of vision quality especially for the monochromatic blue stimuli. However, for the color stimuli presented on a white background, visual acuity in fog for blue Landolt-C optotypes was higher than for red and green optotypes on the white background. The luminance of color Landolt-C optotypes presented on a LCD screen was chosen corresp…

genetic structuresPhysiologyVisual AcuityColorLuminanceRed ColorLight scatteringlaw.inventionContrast SensitivityOpticslawPsychophysicsHumansChromatic scalePhysicsColor Perception Testsbusiness.industryScatteringSensory SystemsAchromatic lensSensory ThresholdsRGB color modelMonochromatic colorbusinessColor PerceptionPhotic StimulationVisual neuroscience
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RGB imaging of laser-excited skin autofluorescence bleaching rates

2010

In-vivo skin photo-bleaching (intensity decrease during irradiation) has been investigated at 405 nm cw laser excitation. Digital RGB photo-camera was used for studies of the bleaching features by analysis of fluorescent images at separated R, G and B spectral bands. Diagnostic potential based on correlations between skin pigmentation and bleaching rates is discussed.

genetic structuresbusiness.industryChemistrySkin autofluorescenceSpectral bandsCw laserLaserFluorescencelaw.inventionOpticslawExcited stateRGB color modelsense organsIrradiationbusinessSPIE Proceedings
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